Maximum-Likelihood Estimation of Beat Signal Parameters in Automotive Radar

Masterarbeit, Bachelorarbeit

Conventional FMCW radar systems operate across

coarse Doppler and range bins to estimate target parameters,

which can be inaccurate for targets with similar range-Doppler-

azimuth signatures. Leveraging the sparsity of beat signals in the

time-frequency-beamspace representation of the measurement

data, we present a sequential algorithm for jointly estimating

the polynomial coefficients and azimuth directions of multiple

beat signals.